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The FG-AI4AD concluded its activities on 29 September 2022. Its Progress Report to ITU-T SG16 is found here.
As of 2019, road injuries are already the leading cause of death for children and young adults aged 5–29 years (more so than HIV and tuberculosis). AI can play a significant role to reduce 1.3 million road deaths and 25 million injuries (SDG 3.6) occurring each year, whilst also encouraging safe, affordable, accessible and sustainable transport systems (SDG 11.2). However, the widespread, socially acceptable, deployment of AI on our roads is dependent upon technology achieving public trust.
The FG-AI4AD supports standardization activities for services and applications enabled by AI systems in autonomous and assisted driving. The FG-AI4AD will focus upon the behavioural evaluation of AI responsible for the dynamic driving task in accordance with the 1949 and 1968 Convention on Road Traffic of the UNECE Global Forum for Road Safety. To build public trust it is fundamental that the performance of AI on our road meets, or exceeds, the performance of a competent and careful human driver. The FG aims to create international harmonisation on the definition of a minimal performance threshold for these AI systems (such as AI as a Driver).
Join us to make sure we can build the public trust in the future of AI-enabled safe mobility for all!
Parent group: ITU-T Study Group 16
Completed deliverables new
- FGAI4AD-02 "Automated driving safety data protocol – Ethical and legal considerations of continual monitoring" Published
- TR01: "Automated driving safety data protocol – Specification" (FGAI4AD-I-100)
- TR03: "Automated driving safety data protocol – Practical demonstrators" (FGAI4AD-I-164)
- TR04: "Automated driving safety data protocol – Public safety benefits of continual monitoring" (contributions invited)